Artificial reality device headset DONN and DOFF detection

ABSTRACT

Aspects of the present disclosure are directed to a multi-sensor don/doff detection system for an artificial reality device headset. The multi-sensor don/doff detection system can use a combination of a proximity sensor, an inertial measurement unit (IMU), and an eye tracking/face tracking (ET/FT) unit to make these determinations. However, when both the ET/FT system and proximity sensor system are active, they can have system coexistence issues. Thus, only one of these systems can be used simultaneously. The multi-sensor don/doff detection system can more accurately identify don events by using input from the proximity sensor and the IMU. The multi-sensor don/doff detection system can also more accurately identify doff events by using input from the IMU and either A) the proximity sensor when the ET/FT system is disabled or B) the ET/FT system when the ET/FT system is enabled.

TECHNICAL FIELD

The present disclosure is directed to devices and processes that detectwhen an artificial reality device headset has been put on (donned) ortaken off (doffed).

BACKGROUND

Artificial reality device don/doff detection can directly impact batterylife and user experience. In some existing system, don/doff detection isperformed using one of a proximity sensor, a capacitance sensor, or amechanical switch. However, each of these systems are prone to falsepositives and false negatives due to the wide range of user andenvironment conditions such as eye relief range, nose height, skin tone,whether the user is wearing glasses, hair style, IPD interference, lightblock interference, ambient lighting, sweat or environment moisture,rapid device movement, etc. While it's possible to use a combination ofdon/doff detection systems, such systems can interfere with each other,causing more problems than they solve.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a block diagram illustrating an overview of devices on whichsome implementations of the present technology can operate.

FIG. 2A is a wire diagram illustrating a first view of a virtual realityheadset which can be used in some implementations of the presenttechnology.

FIG. 2B is a wire diagram illustrating a mixed reality headset which canbe used in some implementations of the present technology.

FIG. 2C is a wire diagram illustrating controllers which, in someimplementations, a user can hold in one or both hands to interact withan artificial reality environment.

FIG. 2D is a wire diagram illustrating a second view of the virtualreality headset which can be used in some implementations of the presenttechnology.

FIG. 3 is a block diagram illustrating an overview of an environment inwhich some implementations of the present technology can operate.

FIG. 4 is a block diagram illustrating components which, in someimplementations, can be used in a system employing the disclosedtechnology.

FIG. 5 is a flow diagram illustrating a process used in someimplementations of the present technology for setting an artificialreality device headset don or doff state according to a combination oftwo of IMU sensors, proximity sensors, and eye tracking/face trackingcameras.

The techniques introduced here may be better understood by referring tothe following Detailed Description in conjunction with the accompanyingdrawings, in which like reference numerals indicate identical orfunctionally similar elements.

DETAILED DESCRIPTION

Aspects of the present disclosure are directed to a multi-sensordon/doff detection system that determines, based on inputs from multipledetection systems, when an artificial reality device headset has beendonned or doffed. The multi-sensor don/doff detection system can use acombination of a proximity (“prox.”) sensor, an inertial measurementunit (IMU), and an eye tracking/face tracking (ET/FT) unit to make thesedeterminations. However, both ET/FT sensors and proximity sensorssometimes work in the same frequency range and spatial areas, which canresult in system coexistence issues (both from proximity sensor to ET/FTcameras and from illumination devices used by the ET/FT units toproximity sensors). Thus, when both the ET/FT system and proximitysensor system are active, this can result in false positive and/or falsenegative don/doff detections.

For example, when donning the artificial reality device headset, themulti-sensor don/doff detection system can have a false negative if thesensors are too insensitive, causing the artificial reality deviceheadset to fail to initialize its display and disabled other systems;and the multi-sensor don/doff detection system can have a false positiveif the sensors are too sensitive, causing the artificial reality deviceheadset to turn on when the device was not actual worn, wasting batteryand causing wear by unnecessarily initialize a display and othersystems. Further, when doffing the artificial reality device headset,the multi-sensor don/doff detection system can have a false negative ifthe sensors are too insensitive, causing the artificial reality deviceheadset to fail to turn off its display or other systems, wastingbattery and causing unnecessary wear; and the multi-sensor don/doffdetection system can have a false positive if the sensors are toosensitive, causing the artificial reality device headset to incorrectlyturn off its display and other systems while still needed by the user.

The multi-sensor don/doff detection system can more accurately identifydon events, and set a corresponding donned state variable, by usinginput from the proximity sensor and the IMU. These systems use low powerand do not interfere with each other, and thus are ideal to be used fordon detection. Further, because the ET/FT systems are not needed whenthe artificial reality device headset is not being worn, the ET/FTsystems can be disabled so as not to interfere with the proximitysensor. The multi-sensor don/doff detection system can use input fromthe proximity sensor and the IMU by comparing each to a threshold, andwhen both are over the threshold, identifying a don event. For example,if the proximity sensor identifies an object as within 30 mm from it,for over 1 second and the IMU takes a force or angular velocity readingabove a specified threshold, the don event can be identified.

The multi-sensor don/doff detection system can also more accuratelyidentify doff events, and set a corresponding doffed state variable, byusing input from the IMU and either A) the proximity sensor when theET/FT system is disabled or B) the ET/FT system when the ET/FT system isenabled. Thus, the multi-sensor don/doff detection system uses the lowerpower proximity detection system when it will not be interfered with anduses the higher power ET/FT system when it is already enabled anyway(disabling the proximity sensors which may interfere with the ET/FTsystem). The multi-sensor don/doff detection system can use input fromthe proximity sensor and the IMU by identifying a doff event if eitherA) the proximity sensor reading does not meet a threshold for at leastone second or B) the IMU reading does not meet a threshold for at least2 minutes. The multi-sensor don/doff detection system can use input fromthe ET/FT system and the IMU by identifying a doff event if either A)the ET/FT system loses eye/face detection for at least one second or B)the IMU reading does not meet a threshold for at least 2 minutes.

Embodiments of the disclosed technology may include or be implemented inconjunction with an artificial reality system. Artificial reality orextra reality (XR) is a form of reality that has been adjusted in somemanner before presentation to a user, which may include, e.g., virtualreality (VR), augmented reality (AR), mixed reality (MR), hybridreality, or some combination and/or derivatives thereof. Artificialreality content may include completely generated content or generatedcontent combined with captured content (e.g., real-world photographs).The artificial reality content may include video, audio, hapticfeedback, or some combination thereof, any of which may be presented ina single channel or in multiple channels (such as stereo video thatproduces a three-dimensional effect to the viewer). Additionally, insome embodiments, artificial reality may be associated withapplications, products, accessories, services, or some combinationthereof, that are, e.g., used to create content in an artificial realityand/or used in (e.g., perform activities in) an artificial reality. Theartificial reality system that provides the artificial reality contentmay be implemented on various platforms, including a head-mounteddisplay (HMD) connected to a host computer system, a standalone HMD, amobile device or computing system, a “cave” environment or otherprojection system, or any other hardware platform capable of providingartificial reality content to one or more viewers.

“Virtual reality” or “VR,” as used herein, refers to an immersiveexperience where a user's visual input is controlled by a computingsystem. “Augmented reality” or “AR” refers to systems where a user viewsimages of the real world after they have passed through a computingsystem. For example, a tablet with a camera on the back can captureimages of the real world and then display the images on the screen onthe opposite side of the tablet from the camera. The tablet can processand adjust or “augment” the images as they pass through the system, suchas by adding virtual objects. “Mixed reality” or “MR” refers to systemswhere light entering a user's eye is partially generated by a computingsystem and partially composes light reflected off objects in the realworld. For example, a MR headset could be shaped as a pair of glasseswith a pass-through display, which allows light from the real world topass through a waveguide that simultaneously emits light from aprojector in the MR headset, allowing the MR headset to present virtualobjects intermixed with the real objects the user can see. “Artificialreality,” “extra reality,” or “XR,” as used herein, refers to any of VR,AR, MR, or any combination or hybrid thereof.

Several implementations are discussed below in more detail in referenceto the figures. FIG. 1 is a block diagram illustrating an overview ofdevices on which some implementations of the disclosed technology canoperate. The devices can comprise hardware components of a computingsystem 100 that can detect when an artificial reality device headset hasbeen put on (donned) or taken off (doffed) according to multipledetection systems. In various implementations, computing system 100 caninclude a single computing device 103 or multiple computing devices(e.g., computing device 101, computing device 102, and computing device103) that communicate over wired or wireless channels to distributeprocessing and share input data. In some implementations, computingsystem 100 can include a stand-alone headset capable of providing acomputer created or augmented experience for a user without the need forexternal processing or sensors. In other implementations, computingsystem 100 can include multiple computing devices such as a headset anda core processing component (such as a console, mobile device, or serversystem) where some processing operations are performed on the headsetand others are offloaded to the core processing component. Exampleheadsets are described below in relation to FIGS. 2A and 2B. In someimplementations, position and environment data can be gathered only bysensors incorporated in the headset device, while in otherimplementations one or more of the non-headset computing devices caninclude sensor components that can track environment or position data.

Computing system 100 can include one or more processor(s) 110 (e.g.,central processing units (CPUs), graphical processing units (GPUs),holographic processing units (HPUs), etc.) Processors 110 can be asingle processing unit or multiple processing units in a device ordistributed across multiple devices (e.g., distributed across two ormore of computing devices 101-103).

Computing system 100 can include one or more input devices 120 thatprovide input to the processors 110, notifying them of actions. Theactions can be mediated by a hardware controller that interprets thesignals received from the input device and communicates the informationto the processors 110 using a communication protocol. Each input device120 can include, for example, a mouse, a keyboard, a touchscreen, atouchpad, a wearable input device (e.g., a haptics glove, a bracelet, aring, an earring, a necklace, a watch, etc.), a camera (or otherlight-based input device, e.g., an infrared sensor), a microphone, orother user input devices.

Processors 110 can be coupled to other hardware devices, for example,with the use of an internal or external bus, such as a PCI bus, SCSIbus, or wireless connection. The processors 110 can communicate with ahardware controller for devices, such as for a display 130. Display 130can be used to display text and graphics. In some implementations,display 130 includes the input device as part of the display, such aswhen the input device is a touchscreen or is equipped with an eyedirection monitoring system. In some implementations, the display isseparate from the input device. Examples of display devices are: an LCDdisplay screen, an LED display screen, a projected, holographic, oraugmented reality display (such as a heads-up display device or ahead-mounted device), and so on. Other I/O devices 140 can also becoupled to the processor, such as a network chip or card, video chip orcard, audio chip or card, USB, firewire or other external device,camera, printer, speakers, CD-ROM drive, DVD drive, disk drive, etc.

In some implementations, input from the I/O devices 140, such ascameras, depth sensors, IMU sensor, GPS units, LiDAR or othertime-of-flights sensors, etc. can be used by the computing system 100 toidentify and map the physical environment of the user while tracking theuser's location within that environment. This simultaneous localizationand mapping (SLAM) system can generate maps (e.g., topologies, girds,etc.) for an area (which may be a room, building, outdoor space, etc.)and/or obtain maps previously generated by computing system 100 oranother computing system that had mapped the area. The SLAM system cantrack the user within the area based on factors such as GPS data,matching identified objects and structures to mapped objects andstructures, monitoring acceleration and other position changes, etc.

Computing system 100 can include a communication device capable ofcommunicating wirelessly or wire-based with other local computingdevices or a network node. The communication device can communicate withanother device or a server through a network using, for example, TCP/IPprotocols. Computing system 100 can utilize the communication device todistribute operations across multiple network devices.

The processors 110 can have access to a memory 150, which can becontained on one of the computing devices of computing system 100 or canbe distributed across of the multiple computing devices of computingsystem 100 or other external devices. A memory includes one or morehardware devices for volatile or non-volatile storage, and can includeboth read-only and writable memory. For example, a memory can includeone or more of random access memory (RAM), various caches, CPUregisters, read-only memory (ROM), and writable non-volatile memory,such as flash memory, hard drives, floppy disks, CDs, DVDs, magneticstorage devices, tape drives, and so forth. A memory is not apropagating signal divorced from underlying hardware; a memory is thusnon-transitory. Memory 150 can include program memory 160 that storesprograms and software, such as an operating system 162, multi-sensordon/doff detection system 164, and other application programs 166.Memory 150 can also include data memory 170 that can include IMUreadings, proximity sensor readings, ET/FT readings, reading thresholdsfor don and doff detection, ET/FT status identifiers, don/doff stateidentifiers, configuration data, settings, user options or preferences,etc., which can be provided to the program memory 160 or any element ofthe computing system 100.

Some implementations can be operational with numerous other computingsystem environments or configurations. Examples of computing systems,environments, and/or configurations that may be suitable for use withthe technology include, but are not limited to, XR headsets, personalcomputers, server computers, handheld or laptop devices, cellulartelephones, wearable electronics, gaming consoles, tablet devices,multiprocessor systems, microprocessor-based systems, set-top boxes,programmable consumer electronics, network PCs, minicomputers, mainframecomputers, distributed computing environments that include any of theabove systems or devices, or the like.

FIG. 2A is a wire diagram of a virtual reality head-mounted display(HMD) 200, in accordance with some embodiments. The HMD 200 includes afront rigid body 205 and a band 210. The front rigid body 205 includesone or more electronic display elements of an electronic display 245, aninertial measurement unit (IMU) 215, one or more position sensors 220,locators 225, and one or more compute units 230. The position sensors220, the IMU 215, and compute units 230 may be internal to the HMD 200and may not be visible to the user. In various implementations, the IMU215, position sensors 220, and locators 225 can track movement andlocation of the HMD 200 in the real world and in an artificial realityenvironment in three degrees of freedom (3DoF) or six degrees of freedom(6DoF). For example, the locators 225 can emit infrared light beamswhich create light points on real objects around the HMD 200. As anotherexample, the IMU 215 can include e.g., one or more accelerometers,gyroscopes, magnetometers, other non-camera-based position, force, ororientation sensors, or combinations thereof. One or more cameras (notshown) integrated with the HMD 200 can detect the light points. Computeunits 230 in the HMD 200 can use the detected light points toextrapolate position and movement of the HMD 200 as well as to identifythe shape and position of the real objects surrounding the HMD 200.

The electronic display 245 can be integrated with the front rigid body205 and can provide image light to a user as dictated by the computeunits 230. In various embodiments, the electronic display 245 can be asingle electronic display or multiple electronic displays (e.g., adisplay for each user eye). Examples of the electronic display 245include: a liquid crystal display (LCD), an organic light-emitting diode(OLED) display, an active-matrix organic light-emitting diode display(AMOLED), a display including one or more quantum dot light-emittingdiode (QOLED) sub-pixels, a projector unit (e.g., microLED, LASER,etc.), some other display, or some combination thereof.

In some implementations, the HMD 200 can be coupled to a core processingcomponent such as a personal computer (PC) (not shown) and/or one ormore external sensors (not shown). The external sensors can monitor theHMD 200 (e.g., via light emitted from the HMD 200) which the PC can use,in combination with output from the IMU 215 and position sensors 220, todetermine the location and movement of the HMD 200.

FIG. 2B is a wire diagram of a mixed reality HMD system 250 whichincludes a mixed reality HMD 252 and a core processing component 254.The mixed reality HMD 252 and the core processing component 254 cancommunicate via a wireless connection (e.g., a 60 GHz link) as indicatedby link 256. In other implementations, the mixed reality system 250includes a headset only, without an external compute device or includesother wired or wireless connections between the mixed reality HMD 252and the core processing component 254. The mixed reality HMD 252includes a pass-through display 258 and a frame 260. The frame 260 canhouse various electronic components (not shown) such as light projectors(e.g., LASERs, LEDs, etc.), cameras, eye-tracking sensors, MEMScomponents, networking components, etc.

The projectors can be coupled to the pass-through display 258, e.g., viaoptical elements, to display media to a user. The optical elements caninclude one or more waveguide assemblies, reflectors, lenses, mirrors,collimators, gratings, etc., for directing light from the projectors toa user's eye. Image data can be transmitted from the core processingcomponent 254 via link 256 to HMD 252. Controllers in the HMD 252 canconvert the image data into light pulses from the projectors, which canbe transmitted via the optical elements as output light to the user'seye. The output light can mix with light that passes through the display258, allowing the output light to present virtual objects that appear asif they exist in the real world.

Similarly to the HMD 200, the HMD system 250 can also include motion andposition tracking units, cameras, light sources, etc., which allow theHMD system 250 to, e.g., track itself in 3DoF or 6DoF, track portions ofthe user (e.g., hands, feet, head, or other body parts), map virtualobjects to appear as stationary as the HMD 252 moves, and have virtualobjects react to gestures and other real-world objects.

FIG. 2C illustrates controllers 270, which, in some implementations, auser can hold in one or both hands to interact with an artificialreality environment presented by the HMD 200 and/or HMD 250. Thecontrollers 270 can be in communication with the HMDs, either directlyor via an external device (e.g., core processing component 254). Thecontrollers can have their own IMU units, position sensors, and/or canemit further light points. The HMD 200 or 250, external sensors, orsensors in the controllers can track these controller light points todetermine the controller positions and/or orientations (e.g., to trackthe controllers in 3DoF or 6DoF). The compute units 230 in the HMD 200or the core processing component 254 can use this tracking, incombination with IMU and position output, to monitor hand positions andmotions of the user. The controllers can also include various buttons(e.g., buttons 272A-F) and/or joysticks (e.g., joysticks 274A-B), whicha user can actuate to provide input and interact with objects.

FIG. 2D is a wire diagram illustrating a second view of the artificialreality device headset 280 which can be used in some implementations ofthe present technology. In some implementations, the artificial realitydevice headset 280 is the same as, or shares components with, thevirtual reality HMD 200 or the mixed reality HMD system 250. Theartificial reality device headset 280 can include lenses 282A and 282B.The artificial reality device headset 280 can include a proximity sensor284, which can emit a beam, such as infrared light, and detect how thebeam rebounds off a target to get the distance to that target. Theartificial reality device headset 280 can include an eye tracking facetracking (ET/FT) system, including ET/FT cameras 286A-286E. In someimplementations, these ET/FT cameras can run at 72 Hz or 90 Hz. One ormore light sources can illuminate either or both of the user's eyes infront of the lenses 282 and the ET/FT cameras can capture a reflectionof this light to determine eye position (e.g., based on set ofreflections around the user's cornea), modeling the user's eye anddetermining a gaze direction. The ET/FT cameras 286 can also captureportions of the user's face to detect, e.g., facial expressions.

In various implementations, the HMD 200, 250, or artificial realitydevice headset can also include additional subsystems, such as an audiosystem, various network components, etc., to monitor indications of userinteractions and intentions. For example, in some implementations,instead of or in addition to controllers, one or more cameras includedin the HMD 200, HMD 250, or artificial reality device headset 280 orfrom external cameras, can monitor the positions and poses of the user'shands to determine gestures and other hand and body motions.

FIG. 3 is a block diagram illustrating an overview of an environment 300in which some implementations of the disclosed technology can operate.Environment 300 can include one or more client computing devices 305A-D,examples of which can include computing system 100. In someimplementations, some of the client computing devices (e.g., clientcomputing device 305B) can be the HMD 200 or the HMD system 250. Clientcomputing devices 305 can operate in a networked environment usinglogical connections through network 330 to one or more remote computers,such as a server computing device.

In some implementations, server 310 can be an edge server which receivesclient requests and coordinates fulfillment of those requests throughother servers, such as servers 320A-C. Server computing devices 310 and320 can comprise computing systems, such as computing system 100. Thougheach server computing device 310 and 320 is displayed logically as asingle server, server computing devices can each be a distributedcomputing environment encompassing multiple computing devices located atthe same or at geographically disparate physical locations.

Client computing devices 305 and server computing devices 310 and 320can each act as a server or client to other server/client device(s).Server 310 can connect to a database 315. Servers 320A-C can eachconnect to a corresponding database 325A-C. As discussed above, eachserver 310 or 320 can correspond to a group of servers, and each ofthese servers can share a database or can have their own database.Though databases 315 and 325 are displayed logically as single units,databases 315 and 325 can each be a distributed computing environmentencompassing multiple computing devices, can be located within theircorresponding server, or can be located at the same or at geographicallydisparate physical locations.

Network 330 can be a local area network (LAN), a wide area network(WAN), a mesh network, a hybrid network, or other wired or wirelessnetworks. Network 330 may be the Internet or some other public orprivate network. Client computing devices 305 can be connected tonetwork 330 through a network interface, such as by wired or wirelesscommunication. While the connections between server 310 and servers 320are shown as separate connections, these connections can be any kind oflocal, wide area, wired, or wireless network, including network 330 or aseparate public or private network.

FIG. 4 is a block diagram illustrating components 400 which, in someimplementations, can be used in a system employing the disclosedtechnology. Components 400 can be included in one device of computingsystem 100 or can be distributed across multiple of the devices ofcomputing system 100. The components 400 include hardware 410, mediator420, and specialized components 430. As discussed above, a systemimplementing the disclosed technology can use various hardware includingprocessing units 412, working memory 414, input and output devices 416(e.g., cameras, displays, IMU units, network connections, etc.), andstorage memory 418. In various implementations, storage memory 418 canbe one or more of: local devices, interfaces to remote storage devices,or combinations thereof. For example, storage memory 418 can be one ormore hard drives or flash drives accessible through a system bus or canbe a cloud storage provider (such as in storage 315 or 325) or othernetwork storage accessible via one or more communications networks. Invarious implementations, components 400 can be implemented in a clientcomputing device such as client computing devices 305 or on a servercomputing device, such as server computing device 310 or 320.

Mediator 420 can include components which mediate resources betweenhardware 410 and specialized components 430. For example, mediator 420can include an operating system, services, drivers, a basic input outputsystem (BIOS), controller circuits, or other hardware or softwaresystems.

Specialized components 430 can include software or hardware configuredto perform operations for determining, based on inputs from multipledetection systems, when an artificial reality device headset has beendonned or doffed. Specialized components 430 can include a proximitysensing system 434, an IMU system 436, an ET/FT system 438, a don/doffstate tracking system 440, and components and APIs which can be used forproviding user interfaces, transferring data, and controlling thespecialized components, such as interfaces 432. In some implementations,components 400 can be in a computing system that is distributed acrossmultiple computing devices or can be an interface to a server-basedapplication executing one or more of specialized components 430.Although depicted as separate components, specialized components 430 maybe logical or other nonphysical differentiations of functions and/or maybe submodules or code-blocks of one or more applications.

The proximity sensing system 434 can interact with a proximity sensor ofI/O 416 to get proximity sensor readings and can compare these readingsto a proximity don threshold or a proximity doff threshold (which may bethe same or different thresholds), and report the comparison result tothe don/doff state tracking system 440. Proximity sensing system 434 canalso disable the proximity sensor of I/O 416 when the ET/FT system 438indicates the ET/FT devices of I/O 416 are enabled and enable theproximity sensor of I/O 416 when the ET/FT system 438 indicates theET/FT devices of I/O 416 are disabled. Additional details on trackingproximity sensing readings as compared to thresholds and controlling theproximity sensors status are provided below in relation to blocks 502and 510 of FIG. 5 .

The IMU system 436 can interact with a IMU system of I/O 416 to get IMUreadings and can compare these readings to an IMU don threshold or anIMU doff threshold (which may be the same or different thresholds), andreport the comparison result to the don/doff state tracking system 440.Additional details on tracking IMU readings as compared to thresholdsare provided below in relation to blocks 502, 508, and 510 of FIG. 5 .

The ET/FT system 438 can interact with ET/FT devices of I/O 416 to getET/FT status readings and can compare how long these readings are in agiven state (eye detected, eye not detected, face detected, face notdetected) to an ET/FT timing doff threshold and report the comparisonresult to the don/doff state tracking system 440. ET/FT system 438 canalso disable and enable the ET/FT devices of I/O 416, e.g., in responseto these systems being indicated as used by a current application.Additional details on tracking ET/FT state readings as compared to atiming threshold and controlling the ET/FT devices are provided below inrelation to blocks 506 and 508 of FIG. 5 .

The don/doff state tracking system 440 can track whether the artificialreality device headset is being worn by a user (i.e., in a donned state)or is not being worn by a user (i.e., in a doffed state).

When in the doffed state, don/doff state tracking system 440 can get theproximity threshold comparison from the proximity sensing system 434 andcan get the IMU to don threshold comparison from the IMU system 436 and,if both comparisons evaluate to true, can set the don/doff state to thedonned state.

When in the donned state and the ET/FT system 438 indicates the ET/FTdevices are enabled, don/doff state tracking system 440 can get theET/FT timing comparison from the ET/FT system 438 and can get the IMU todoff threshold comparison from the IMU system 436, and if eithercomparison evaluates to true, can set the don/doff state to the doffedstate.

When in the donned state and the ET/FT system 438 indicates the ET/FTdevices are disabled, don/doff state tracking system 440 can get theproximity threshold comparison from the proximity sensing system 434 andcan get the IMU to doff threshold comparison from the IMU system 436,and if either comparison evaluates to true, can set the don/doff stateto the doffed state.

Those skilled in the art will appreciate that the components illustratedin FIGS. 1-4 described above, and in each of the flow diagrams discussedbelow, may be altered in a variety of ways. For example, the order ofthe logic may be rearranged, substeps may be performed in parallel,illustrated logic may be omitted, other logic may be included, etc. Insome implementations, one or more of the components described above canexecute one or more of the processes described below.

FIG. 5 is a flow diagram illustrating a process 500 used in someimplementations of the present technology for setting an artificialreality device headset's (“headset”) don or doff state according to acombination of two of an IMU sensor, a proximity sensor, and an eyetracking/face tracking system. Process 500 can be performed by anartificial reality device, e.g., as a sub-process of an operating systemof the artificial reality device. In some implementations, process 500can start, when the headset is in a doffed state, at block 502. In otherimplementations, process 500 can start, when the headset is in a donnedstate, at block 506 instead.

At block 502, process 500 can determine whether a current set ofreadings from the proximity sensor are above a proximity don thresholdand whether a current set of readings from the IMU are above an IMU donthreshold. The readings from the proximity sensor can be above theproximity don threshold when they indicate there is an object (i.e., theuser's face) within 30 mm of the proximity sensor for at least onesecond. The readings from the IMU can be above the IMU don thresholdwhen a movement above a threshold force or above an angular velocity ismeasured. If both the current set of readings from the proximity sensorare above the proximity don threshold and the current set of readingsfrom the IMU are above the IMU don threshold, process 500 can continueto block 504; otherwise process 500 can stay at block 502.

At block 504, process 500 can set an artificial reality device headsetto a donned state. This can include, for example, setting an environmentvariable, defined in the operating system of the artificial realitydevice headset, to a value corresponding to the headset being donned.

At block 506, process 500 can determine whether an ET/FT system isactive. This can be accomplished by checking whether hardware (throughstatus indicators in the operating system or other control system) ofthe ET/FT system is emitting light and/or capturing light or by checkingwither any current application executing on the artificial realitydevice uses the ET/FT system and therefore has enabled it. If the ET/FTsystem is active, process 500 can proceed to block 508; otherwiseprocess 500 can proceed to block 510.

At block 508, process 500 can determine if either the ET/FT systemdoesn't recognize a face or eye for a threshold amount of time (e.g., 1second) or if all readings from the IMU are below an IMU doff thresholdfor an amount of time (e.g., 2 minutes). If neither is true, process 500can return to block 506. If either is true, process 500 can proceed toblock 512.

At block 510, process 500 can determine if either a current set ofreadings from the proximity sensor are below a proximity doff threshold(e.g., no measurement of an object within 30 mm) for a threshold amountof time (e.g., 1 second) or if all readings from the IMU are below anIMU doff threshold for an amount of time (e.g., 2 minutes). If neitheris true, process 500 can return to block 506. If either is true, process500 can proceed to block 512.

At block 512, process 500 can set the artificial reality device headsetto a doffed state. This can include, for example, setting an environmentvariable, defined in the operating system of the artificial realitydevice headset, to a value corresponding to the headset being doffed.Process 500 can repeat while the headset is powered on, returning toblock 502.

Reference in this specification to “implementations” (e.g., “someimplementations,” “various implementations,” “one implementation,” “animplementation,” etc.) means that a particular feature, structure, orcharacteristic described in connection with the implementation isincluded in at least one implementation of the disclosure. Theappearances of these phrases in various places in the specification arenot necessarily all referring to the same implementation, nor areseparate or alternative implementations mutually exclusive of otherimplementations. Moreover, various features are described which may beexhibited by some implementations and not by others. Similarly, variousrequirements are described which may be requirements for someimplementations but not for other implementations.

As used herein, being above a threshold means that a value for an itemunder comparison is above a specified other value, that an item undercomparison is among a certain specified number of items with the largestvalue, or that an item under comparison has a value within a specifiedtop percentage value. As used herein, being below a threshold means thata value for an item under comparison is below a specified other value,that an item under comparison is among a certain specified number ofitems with the smallest value, or that an item under comparison has avalue within a specified bottom percentage value. As used herein, beingwithin a threshold means that a value for an item under comparison isbetween two specified other values, that an item under comparison isamong a middle-specified number of items, or that an item undercomparison has a value within a middle-specified percentage range.Relative terms, such as high or unimportant, when not otherwise defined,can be understood as assigning a value and determining how that valuecompares to an established threshold. For example, the phrase “selectinga fast connection” can be understood to mean selecting a connection thathas a value assigned corresponding to its connection speed that is abovea threshold.

As used herein, the word “or” refers to any possible permutation of aset of items. For example, the phrase “A, B, or C” refers to at leastone of A, B, C, or any combination thereof, such as any of: A; B; C; Aand B; A and C; B and C; A, B, and C; or multiple of any item such as Aand A; B, B, and C; A, A, B, C, and C; etc.

Although the subject matter has been described in language specific tostructural features and/or methodological acts, it is to be understoodthat the subject matter defined in the appended claims is notnecessarily limited to the specific features or acts described above.Specific embodiments and implementations have been described herein forpurposes of illustration, but various modifications can be made withoutdeviating from the scope of the embodiments and implementations. Thespecific features and acts described above are disclosed as exampleforms of implementing the claims that follow. Accordingly, theembodiments and implementations are not limited except as by theappended claims.

Any patents, patent applications, and other references noted above areincorporated herein by reference. Aspects can be modified, if necessary,to employ the systems, functions, and concepts of the various referencesdescribed above to provide yet further implementations. If statements orsubject matter in a document incorporated by reference conflicts withstatements or subject matter of this application, then this applicationshall control.

We claim:
 1. Method for determining, based on inputs from multipledetection systems, when an artificial reality device headset has beendonned or doffed, the method comprising: from the artificial realitydevice headset being in a doffed state, determining that both: a currentproximity reading set is above a proximity donned threshold; and acurrent Inertial Measurement Unit (IMU) reading set is above an IMUdonned threshold; and in response, changing the artificial realitydevice headset to being in a donned state; and from the artificialreality device headset being in the donned state, when an eyetracking/face tracking (ET/FT) system is active: determining A) whethera current ET/FT reading set indicates a loss of eye or face tracking fora threshold amount of time and B) whether a current IMU reading set isbelow an IMU doffed threshold; and in response to either A) or B) beingtrue, changing the artificial reality device headset to being in thedoffed state; and when an ET/FT system is not active: determining C)whether a current proximity reading set is below a proximity doffedthreshold and D) whether a current IMU reading set is below an IMUdoffed threshold; and in response to either C) or D) being true,changing the artificial reality device headset to being in the doffedstate.
 2. The method of claim 1, wherein: the determining that thecurrent proximity reading set is above the proximity donned thresholdincludes determining that an object is detected within 30 mm of aproximity sensor for at least one second; and the determining whetherthe current proximity reading set is below the proximity doffedthreshold includes determining that no object is detected within 30 mmof the proximity sensor for at least one second.
 3. The method of claim1, wherein: the determining that the current proximity reading set isabove the proximity donned threshold includes determining that an objectis detected within a threshold distance of a proximity sensor for atleast a threshold amount of time; and the determining whether thecurrent proximity reading set is below the proximity doffed thresholdincludes determining that no object is detected within the thresholddistance of the proximity sensor for at least the threshold amount oftime.
 4. The method of claim 1, wherein the determining whether thecurrent IMU reading set is below the IMU doffed threshold includesdetermining that a force or angular velocity, measured by the IMU, isless than a threshold force or angular velocity for at least a thresholdtime.
 5. The method of claim 1, wherein the determining whether thecurrent IMU reading set is below the IMU doffed threshold includesdetermining that a force or angular velocity, measured by the IMU, isless than a threshold force or angular velocity for at least twominutes.
 6. The method of claim 1 further comprising determining whetherthe ET/FT system is active by determining whether any activeapplications on the artificial reality device are configured to enablethe ET/FT system.
 7. The method of claim 1, wherein the threshold amountof time used in determining whether the current ET/FT reading setindicates the loss of eye or face tracking, is one second.
 8. Anon-transitory computer-readable storage medium storing instructionsthat, when executed by a computing system, cause the computing system toperform a process for determining, based on inputs from multipledetection systems, when an artificial reality device headset has beendonned or doffed, the process comprising: when an eye tracking/facetracking (ET/FT) system is active: determining A) whether a currentET/FT reading set indicates a loss of eye or face tracking for athreshold amount of time and B) whether a current Inertial MeasurementUnit (IMU) reading set is below an IMU doffed threshold; and in responseto either A) or B) being true, changing the artificial reality deviceheadset to being in a doffed state; and when an ET/FT system is notactive: determining C) whether a current proximity reading set is belowa proximity doffed threshold and D) whether a current IMU reading set isbelow an IMU doffed threshold; and in response to either C) or D) beingtrue, changing the artificial reality device headset to being in thedoffed state.
 9. The non-transitory computer-readable storage medium ofclaim 8, wherein the process further comprises: determining that both: acurrent proximity reading set is above a proximity donned threshold; anda current IMU reading set is above an IMU donned threshold; and inresponse, changing the artificial reality device headset to being in adonned state.
 10. The non-transitory computer-readable storage medium ofclaim 9, wherein: the determining that the current proximity reading setis above the proximity donned threshold includes determining that anobject is detected within a threshold distance of a proximity sensor forat least a threshold amount of time; and the determining whether thecurrent proximity reading set is below the proximity doffed thresholdincludes determining that no object is detected within the thresholddistance of the proximity sensor for at least the threshold amount oftime.
 11. The non-transitory computer-readable storage medium of claim8, wherein the determining whether the current IMU reading set is belowthe IMU doffed threshold includes determining that a force or angularvelocity, measured by the IMU, is less than a threshold force or angularvelocity for at least a threshold time.
 12. The non-transitorycomputer-readable storage medium of claim 8, wherein the determiningwhether the current IMU reading set is below the IMU doffed thresholdincludes determining that a force or angular velocity, measured by theIMU, is less than a threshold force or angular velocity for at least twominutes.
 13. The non-transitory computer-readable storage medium ofclaim 8, wherein the process further comprises determining when theET/FT system is active by determining whether any active applications onthe artificial reality device are configured to enable the ET/FT system.14. The non-transitory computer-readable storage medium of claim 8,wherein the threshold amount of time used in determining whether thecurrent ET/FT reading set indicates the loss of eye or face tracking, isin the range of one-half to three seconds.
 15. A computing system fordetermining, based on inputs from multiple detection systems, when anartificial reality device headset has been donned or doffed, thecomputing system comprising: one or more processors; and one or morememories storing instructions that, when executed by the one or moreprocessors, cause the computing system to perform a process comprising:when an eye tracking/face tracking (ET/FT) system is active: determiningwhether a current ET/FT reading set indicates a loss of eye or facetracking for a threshold amount of time or whether a current InertialMeasurement Unit (IMU) reading set is below an IMU doffed threshold; andin response, changing the artificial reality device headset to being inthe doffed state; and when an ET/FT system is not active: determiningwhether a current proximity reading set is below a proximity doffedthreshold or whether a current IMU reading set is below an IMU doffedthreshold; and in response, changing the artificial reality deviceheadset to being in the doffed state.
 16. The computing system of claim15, wherein the process further comprises: determining that both: acurrent proximity reading set is above a proximity donned threshold; anda current IMU reading set is above an IMU donned threshold; and inresponse, changing the artificial reality device headset to being in adonned state.
 17. The computing system of claim 15, wherein: thedetermining whether the current proximity reading set is below theproximity doffed threshold includes determining that no object isdetected within the threshold distance of the proximity sensor for atleast the threshold amount of time.
 18. The computing system of claim15, wherein the determining whether the current IMU reading set is belowthe IMU doffed threshold includes determining that a force or angularvelocity, measured by the IMU, is less than a threshold force or angularvelocity for at least a threshold time.
 19. The computing system ofclaim 15, wherein the process further comprises determining when theET/FT system is active by determining whether any active applications onthe artificial reality device are configured to enable the ET/FT system.20. The computing system of claim 15, wherein the threshold amount oftime used in determining whether the current ET/FT reading set indicatesthe loss of eye or face tracking, is at least one second.